肯尼亚与马里对比
肯尼亚与马里:热带夜
2014 年热带夜:肯尼亚为 245.6 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 4.6 夜,是肯尼亚的 1.02 倍。
每年夜数 · CMIP6
数据解读
- 自 1975 年超过肯尼亚以来,马里的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年肯尼亚为 277 夜,马里为 283.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 肯尼亚 | 马里 |
|---|---|---|
| 2014 | 245.6 | 250.2 |
| 2013 | 245.4 | 247.3 |
| 2012 | 244.7 | 253.1 |
| 2011 | 245 | 251.9 |
| 2010 | 243.8 | 250.4 |
| 2009 | 242.3 | 248 |
| 2008 | 240.3 | 247.8 |
| 2007 | 240.9 | 248.1 |
| 2006 | 241.5 | 245.5 |
| 2005 | 241.2 | 244.3 |
| 2004 | 241.8 | 243.9 |
| 2003 | 240.8 | 247.1 |
| 2002 | 240.7 | 245.8 |
| 2001 | 242 | 245.6 |
| 2000 | 239.5 | 243.2 |
| 1999 | 237.8 | 242.4 |
| 1998 | 239.2 | 240.6 |
| 1997 | 236.9 | 240.7 |
| 1996 | 234.2 | 236.4 |
| 1995 | 232.9 | 238 |
| 1994 | 231.9 | 236.2 |
| 1993 | 227.4 | 235.1 |
| 1992 | 224.8 | 232 |
| 1991 | 233.8 | 238.7 |
| 1990 | 236.4 | 241 |
| 1989 | 234.5 | 236.3 |
| 1988 | 233.1 | 234.7 |
| 1987 | 232.6 | 236.1 |
| 1986 | 233 | 237.1 |
| 1985 | 228.7 | 235.3 |
| 1984 | 230.2 | 233 |
| 1983 | 226.7 | 231.2 |
| 1982 | 230.6 | 234.9 |
| 1981 | 232.9 | 233.9 |
| 1980 | 231.3 | 231.5 |
| 1979 | 229.6 | 233.8 |
| 1978 | 228.7 | 234.8 |
| 1977 | 229.9 | 233.6 |
| 1976 | 227.8 | 231.7 |
| 1975 | 225.9 | 232.4 |
| 1974 | 230.5 | 229.7 |
| 1973 | 230.4 | 230.3 |
| 1972 | 228.7 | 230.7 |
| 1971 | 226 | 229.5 |
| 1970 | 226.3 | 229.9 |
| 1969 | 225.9 | 227.3 |
| 1968 | 222.9 | 230.5 |
| 1967 | 224 | 229 |
| 1966 | 225.2 | 228.1 |
| 1965 | 224.2 | 230.2 |
| 1964 | 221.8 | 228.9 |
| 1963 | 220.2 | 228.2 |
| 1962 | 227.2 | 231.7 |
| 1961 | 228.3 | 231.6 |
| 1960 | 228.8 | 235.1 |
| 1959 | 228.3 | 231.8 |
| 1958 | 229.1 | 231.8 |
| 1957 | 228 | 233.3 |
| 1956 | 225.5 | 230.7 |
| 1955 | 228.7 | 230.6 |
| 1954 | 227.4 | 232 |
| 1953 | 227.6 | 228.3 |
| 1952 | 228.5 | 229.2 |
| 1951 | 228.3 | 231.4 |
| 1950 | 226.3 | 228.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 肯尼亚 | 马里 |
|---|---|---|
| 2015 | 246.9232.3–256.1 | 247.9231.5–264.7 |
| 2016 | 244.9230.1–255 | 248231.3–262.6 |
| 2017 | 248.1233.1–257.7 | 252.7233.6–268.2 |
| 2018 | 248.7237–257.4 | 254.2236.4–269 |
| 2019 | 247.1234.8–256.7 | 251.6233.5–272.3 |
| 2020 | 248.6233.2–259.2 | 251.3231.2–270.7 |
| 2021 | 249.5236.3–258.1 | 254.8238.5–270 |
| 2022 | 251.5239.7–259.5 | 257237.8–275.3 |
| 2023 | 251.8239–260.8 | 254.2239.6–269.2 |
| 2024 | 254.2239.1–263 | 259.3242.3–276.8 |
| 2025 | 251.5238.1–261.8 | 256.2239.2–272.3 |
| 2026 | 252.2237.2–263.3 | 256.8237.2–277.8 |
| 2027 | 252.8238.4–263.8 | 258.5240.3–273.1 |
| 2028 | 254.9241.9–264.2 | 259.7243.6–273.9 |
| 2029 | 256243.4–264.6 | 260.8240.3–275.3 |
| 2030 | 253.6240.6–263.1 | 258.1237.5–272.6 |
| 2031 | 256244.7–264.4 | 262.2243.4–280.6 |
| 2032 | 257243.8–267.1 | 260.5242.1–278.2 |
| 2033 | 256241.8–265.9 | 262.1241.7–280.3 |
| 2034 | 256.2241.2–267.9 | 260.7242–275.3 |
| 2035 | 256.7243.3–266.7 | 261.5244.8–283.6 |
| 2036 | 256.2242.4–266.7 | 262.5244.6–281.1 |
| 2037 | 258.7245.9–268.4 | 264.5245.2–279.6 |
| 2038 | 260.3244.5–268.9 | 266246.7–283.2 |
| 2039 | 259244.4–268 | 262.3245–281.6 |
| 2040 | 258.3246.2–269.8 | 263.6247.5–279.6 |
| 2041 | 260.7244.8–271.2 | 264.6250.8–283.1 |
| 2042 | 260.3246.5–272.7 | 265.7245.9–283.5 |
| 2043 | 259246.6–270.5 | 264.8246.9–278.8 |
| 2044 | 261.2248.8–270.9 | 269.3247.4–284.7 |
| 2045 | 261.8248.7–272.9 | 265.6248.9–283.7 |
| 2046 | 264.8249.6–275.3 | 269.8247.5–286.4 |
| 2047 | 264.4249.8–275.3 | 271.9251.2–290.3 |
| 2048 | 264.2252.3–274.9 | 270.4254.4–288.2 |
| 2049 | 265.2252.8–275.6 | 272252.1–288.2 |
| 2050 | 263.9249.8–275.1 | 269.5250.6–286.4 |
| 2051 | 265.4252.1–275.1 | 268.8251.7–286.9 |
| 2052 | 266.3252.6–276.2 | 270.1252.7–292.1 |
| 2053 | 265.2251–275.4 | 269.3249.2–288.8 |
| 2054 | 265.2250.2–277.2 | 270.3251.7–290.6 |
| 2055 | 266.8251.6–277.6 | 270.9252.7–288.1 |
| 2056 | 266.2251.2–277.8 | 273248.6–291.4 |
| 2057 | 266.8253–278 | 275.5255.2–295 |
| 2058 | 266.7251.5–277.9 | 271252.7–293.2 |
| 2059 | 269.8254.7–280.5 | 274.5259.3–299.6 |
| 2060 | 271.1253.9–280.7 | 273.5258–293.7 |
| 2061 | 267.5253.9–281.7 | 275.4257–298 |
| 2062 | 268.1254–281.2 | 270.8251.7–291.8 |
| 2063 | 268.9255–280.1 | 275.9256.6–292.2 |
| 2064 | 270254.1–279.8 | 276.4256.6–298.4 |
| 2065 | 269.4255.8–282.3 | 275.3256–295.1 |
| 2066 | 270.6258.1–281 | 276.9260–296.5 |
| 2067 | 270.7256.1–283 | 272.6255.4–293.3 |
| 2068 | 270.2256–283 | 277.5258.1–296.5 |
| 2069 | 269.8256.1–283.3 | 276.1257.7–293.3 |
| 2070 | 270.1255.8–282.6 | 277.2256.6–296.6 |
| 2071 | 271.9257.9–284.4 | 277.2258.4–295.6 |
| 2072 | 273.5260.3–283.8 | 281.9263.8–298.9 |
| 2073 | 273.1259.9–285.4 | 276.8257.9–296.8 |
| 2074 | 271.9257.5–285.4 | 277.7258.7–295.9 |
| 2075 | 271.1256.5–284.7 | 278.5260.1–298.5 |
| 2076 | 274.1258.6–285.8 | 278.1261.1–294.2 |
| 2077 | 273.4259–286.6 | 283.8263.1–302.3 |
| 2078 | 273.1260–284.4 | 283.8263.5–299.4 |
| 2079 | 273.3258.7–286.6 | 278.9259.2–300.6 |
| 2080 | 275.5259.4–286.9 | 281.2262.1–299.4 |
| 2081 | 274.7259.8–285.6 | 279.1259.3–301.8 |
| 2082 | 274.8261.3–286.4 | 280.2260.2–298.4 |
| 2083 | 274259.6–289.3 | 280.8260.8–302.3 |
| 2084 | 276.8259–288.8 | 280.4263.8–301 |
| 2085 | 276.2261.5–289.1 | 284.6259.2–303 |
| 2086 | 275.1260–289.1 | 281.9262.8–302.4 |
| 2087 | 276.2260.3–288.5 | 279.7258.8–302.8 |
| 2088 | 276.8261.6–289.7 | 282.3260.7–303.3 |
| 2089 | 275.9260.3–288.8 | 283.4262.4–300.5 |
| 2090 | 275.3260.5–290.5 | 283.9259.8–301.9 |
| 2091 | 277.7260.4–290.9 | 283.1260.4–304.8 |
| 2092 | 276.2261.2–290.7 | 281.6259.7–303.1 |
| 2093 | 276.9262–290.1 | 284.8265.8–305.4 |
| 2094 | 277262.8–288.9 | 284.6262.8–305.6 |
| 2095 | 278.4262.3–290.4 | 283.6262–304.6 |
| 2096 | 277.6260.5–292 | 284.9263.3–306.3 |
| 2097 | 277261–290.2 | 280261–300.5 |
| 2098 | 277.6262.3–291.5 | 282.5262–302.1 |
| 2099 | 277.9260.8–292.4 | 285.3266.2–305.4 |
| 2100 | 277261.8–290.4 | 283.6262.8–304.1 |
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须知
- 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
- 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
- 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
- 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。
各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据
肯尼亚与马里对比
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军用
- 军费开支肯尼亚:2025 年为 GDP 的 1.07%马里:2025 年为 GDP 的 3.87%
- 军费开支(美元)肯尼亚:2025 年为 US$13.6亿马里:2025 年为 US$8.83亿
- 人均军费开支肯尼亚:2025 年为 US$26马里:2025 年为 US$38
- 军费占政府支出比例肯尼亚:2025 年为 4.6%(占政府支出)马里:2025 年为 14.8%(占政府支出)
- 武装部队人员肯尼亚:2020 年为 24,000 人马里:2020 年为 41,000 人
- 国家实力肯尼亚:2022 年为 0.23%(占全球实力)马里:2022 年为 0.1%(占全球实力)
- 武装部队占劳动力比例肯尼亚:2020 年为 0.11%(占劳动力)马里:2020 年为 0.54%(占劳动力)
- 武器进口肯尼亚:2025 年为 1.17亿 TIV马里:2025 年为 6400万 TIV